Predicting Wetland Occurrence in the Arid to Semi— Arid 1 Interior of the Western Cape, South Africa, for Improved 2 Mapping and Management Donovan Charles Kotze (
[email protected] ) University of KwaZulu-Natal https://orcid.org/0000-0001-9048-1773 Nick Rivers-Moore University of KwaZulu-Natal Michael Grenfell University of the Western Cape Nancy Job South African National Biodiversity Institute Research Article Keywords: drylands, hydrogeomorphic type, logistic regression, probability, vulnerability Posted Date: August 17th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-716396/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License 1 Predicting wetland occurrence in the arid to semi—arid 2 interior of the Western Cape, South Africa, for improved 3 mapping and management 4 5 D. C. Kotze1*, N.A. Rivers-Moore1,2, N. Job3 and M. Grenfell4 6 1Centre for Water Resources Research, University of KwaZulu-Natal, Private Bag X01, 7 Scottsville, 3209, South Africa 8 2Freshwater Research Centre, Cape Town, South Africa 9 3Kirstenbosch Research Centre, South African National Biodiversity Institute, Private Bag X7, 10 Newlands, Cape Town, 7945, South Africa 11 4Institute for Water Studies, Department of Earth Science, University of the Western Cape, 12 Private Bag X17, Bellville, 7535, South Africa 13 *Corresponding author:
[email protected] 14 15 Abstract 16 As for drylands globally, there has been limited effort to map and characterize such wetlands in 17 the Western Cape interior of South Africa. Thus, the study assessed how wetland occurrence and 18 type in the arid to semi-arid interior of the Western Cape relate to key biophysical drivers, and, 19 through predictive modelling, to contribute towards improved accuracy of the wetland map layer.